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Texture fusion for batik motif retrieval system
Ida Nurhaida
, Hong Wei
, Remmy A.M. Zen
, Ruli Manurung
,
Aniati M. Arymurthy
Department of Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
27
Citations (Scopus)
Overview
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Dive into the research topics of 'Texture fusion for batik motif retrieval system'. Together they form a unique fingerprint.
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Keyphrases
Batik Motif
100%
Feature Fusion
66%
Feature Space
33%
Fused Features
33%
Gabor
66%
Gray-level Co-occurrence
66%
Image Retrieval
33%
Local Binary Pattern Features
33%
Log-Gabor Filter
100%
Optimal Feature Selection
33%
Performance Evaluation
33%
Process Use
33%
Query Image
66%
Retrieval Methods
33%
Retrieval Practice
33%
Retrieval Rate
33%
Retrieval System
100%
Texture Features
66%
Texture Fusion
100%
Computer Science
Experimental Result
25%
Feature Fusion
50%
Feature Individual
75%
Feature Space
25%
Gabor feature
50%
Image Retrieval
25%
Information Retrieval
100%
Occurrence Matrix
50%
Performance Evaluation
25%
retrieval performance
25%
Retrieval Process
25%
Texture Feature
50%